Video Fingerprinting Algorithm Based on Temporal and Spatial Information Feature Fusion
摘要
To meet the robustness,uniqueness and compactness requirements of video copy detection systems,a video fingerprint algorithm including temporal and spatial information is proposed.The temporal and spatial information is composed of spatio-temporal slices and keyframes.Weighted fusion is implemented on Gabor features including the spatial information of video key frames,and on histogram features including temporal information of spatio-temporal slices.The fusion is quantized to generate the video fingerprint.Comparative experiments are carried out on the public database,and results show that the proposed algorithm has an outstanding ROC performance,obviously higher robustness,and better overall performance compared with structure diagram model,temporal information image,gradient direction centroid and other algorithms.